BSc Data Science, AI, and Digital Business

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 3 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Closing soon October 2026

Course Overview

Embark on your journey to becoming a leader in the digital age with the BSc Data Science, AI, and Digital Business at GISMA. This undergraduate degree is crafted for ambitious individuals eager to harness the power of data and artificial intelligence to drive strategic business decisions and innovation. You will explore the critical intersections of data science, machine learning, data mining, and AI applications within a dynamic business context. By mastering essential skills in data governance, security, and ethics, you will be prepared to tackle complex challenges and seize opportunities in today's data-driven global economy.

This full-time, on-campus programme, studied over three years, offers a comprehensive curriculum that balances theoretical knowledge with practical application. You will engage in hands-on learning through an end-to-end data science project, business start-up simulations, and potentially an internship, gaining invaluable real-world experience. The curriculum integrates general business competencies, digital transformation case studies, and AI applications, ensuring you develop a holistic understanding. You will graduate with a Bachelor's Degree, equipped with the analytical, technical, and strategic skills to excel in diverse roles across the tech and business sectors.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program equips students with a comprehensive understanding of Data Science and Artificial Intelligence, covering foundational programming, data structures, databases, machine learning, and statistical modeling. It also delves into essential business competencies, including digital transformation, marketing, sustainability, project management, and AI applications within a business context. Students will develop practical skills through project work, simulations, and an internship, fostering creative problem-solving and strategic decision-making abilities for the digital age.

1 Data Science and AI

Python Programming
Data Structures & Algorithms
Databases & Big Data
Data Mining
Data Integration
Artificial Intelligence & Machine Learning
Applied Statistical Modelling
Data Visualisation
Data Driven Strategic Decision Making
Data Governance, Security and Ethics
AI Studio

2 General Business Competencies

Digital Transformation and Cases
Fundamentals of Marketing
Sustainability Management
Project Management
Innovation Management in a Digital and Globalised World
Digital Marketing and Analytics
AI Applications for Digital Business
Data Driven Business Models

3 Action and intercultural competencies

Creative Problem Solving and Strategy Development
End-to-End Data Science Project
Business Start-up Simulation
Internship

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 16,263.00
Second Year Fee Tuition fee
USD 16,263.00
Third Year Fee Tuition fee
USD 16,263.00
Total Program Cost Estimated total tuition
USD 48,789.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 611.00 - USD 763.00
Food & Groceries USD 9,262.00 - USD 9,823.00
Transport USD 842.00 - USD 1,123.00
Utilities & Bills USD 4,210.00 - USD 5,613.00
Estimated Total USD 14,314.00 - USD 16,559.00

Living cost estimates are based on Berlin Campus.

Outcomes & Employability

What happens after you graduate

94%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Advertising TechnologyBeverage Production & DistributionCybersecurityDevOps & Site Reliability EngineeringFood Marketing & Brand ManagementNetworking & Internet ServicesPerformance & Growth MarketingProduct Management & UXPublic RelationsRetail & Grocery

Top Employers Hiring for this course

DVAG

Deutsche Bank

ERGO

Ensono

NIsum

NursIT Institute GmbH

Picnic Technologies

Why Study BSc Data Science, AI, and Digital Business at Gisma University of Applied Sciences

What makes this program stand out

October 2026 Closing soon

Next intake is in October 2026

Fast Application response time

Gisma University of Applied Sciences typically responds to applications within a week, giving you clarity on your options quickly.

Life at Gisma University of Applied Sciences in Germany

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about BSc Data Science, AI, and Digital Business at Gisma University of Applied Sciences

Can I work while studying?

International students can work up to 20 hours per week or 140 full days/280 half days annually in Germany without needing a separate work permit. This allows students to gain valuable work experience alongside their studies.

What English language score do I need for this course?

To apply, you need an IELTS score of at least 6.0 overall, with specific minimums for listening, reading, speaking, and writing set at 5.5. Ensure you meet these requirements to proceed with your application.

What jobs can I get after studying this course?

Graduates can pursue various roles such as Data Analyst, Business Intelligence Specialist, AI Consultant, Data Scientist, and Digital Business Strategist.

What will I actually study in this course?

This three-year undergraduate program focuses on data science, machine learning, and AI applications within business contexts. You'll gain hands-on experience through data projects and internships, equipping you with essential skills for the digital economy.

When can I start — what are the intake months?

The BSc Data Science, AI, and Digital Business program has four intake months: January, April, July, and October. Choose the intake that best suits your schedule to begin your studies.
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